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ZENODO
Dataset . 2022
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GENEA Challenge 2022 submitted BVH files

Authors: Kucherenko, Taras;

GENEA Challenge 2022 submitted BVH files

Abstract

This Zenodo repository contains 3D motion in the Biovision Hierarchy (BVH) format for all test-set motion submitted by teams participating in the GENEA Challenge 2022. Contents: The "full-body" zip file corresponds to the full-body tier of the challenge and the "upper-body" file to the upper-body tier. The repository also contains the time stamps for cutting out the evaluation segments we used (matched and mismatched) in the file "segment_selection_info.csv". Attribution: If you use this material, please cite our latest paper on the GENEA Challenge 2022. At the time of writing (2022-08-08) this is our ACM ICMI 2022 paper: Youngwoo Yoon, Pieter Wolfert, Taras Kucherenko, Carla Viegas, Teodor Nikolov, Mihail Tsakov, and Gustav Eje Henter. 2022. The GENEA Challenge 2022: A large evaluation of data-driven co-speech gesture generation. In Proceedings of the ACM International Conference on Multimodal Interaction (ICMI '22). ACM. You can find the latest information and a BibTeX file on the project website: https://youngwoo-yoon.github.io/GENEAchallenge2022/ Conditions FNA and UNA in the data contain motion from the Talking With Hands 16.2M dataset at https://github.com/facebookresearch/TalkingWithHands32M/. These are licensed under a CC BY NC 4.0 international license. The remaining material is available under a CC BY 4.0 international license, with the text provided in LICENSE.txt. To find more GENEA Challenge 2022 material on the web, please see: * https://youngwoo-yoon.github.io/GENEAchallenge2022/ * https://genea-workshop.github.io/2022/challenge/ If you have any questions or comments, please contact: * The GENEA Challenge & Workshop organisers <genea-contact@googlegroups.com

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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31